Data Engineer II - Remote

Overview

We are seeking a highly motivated and talented Data Engineer to join our team and play a critical role in shaping the future of healthcare data management. This individual will be a key contributor in building robust, scalable, and accurate data systems that empower operational and analytics teams to make informed decisions and drive positive outcomes.

In Short

• Lead relationship with operational and analytics teams to translate business needs into effective data solutions
• Architect and implement ETL workflows leveraging CapitalRx platforms and technologies such as Python, dbt, SQLAlchemy, Terraform, Airflow, Snowflake, and Redshift
• Conduct rigorous testing to ensure the flawless execution of data pipelines before production deployment
• Identify, recommend, and implement process improvement initiatives.
• Proactively identify and resolve data-related issues, ensuring system reliability and data integrity
• Lead moderately complex projects.
• Provide ongoing maintenance and support for critical data infrastructure, including 24x7 on-call availability
• Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance.

Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field
• 2+ experience working with Airflow, dbt, and Snowflake
• Expertise in data warehousing architecture techniques and familiarity with Kimball methodology
• Minimum 3+ years experience with a proven track record as a Data Engineer, displaying the ability to design, implement, and maintain complex data pipelines
• 1+ year experience in Python, SQL
• Capacity to analyze the company's broader data landscape and architect scalable data solutions that support growth
• Excellent communication skills to collaborate effectively with both technical and non-technical stakeholders
• A self-motivated and detail-oriented individual with the ability to tackle and solve intricate technical challenges

Benefits

• The salary range represents the low and high end of the anticipated base salary range for the NY-based position.
• The actual base salary will depend on several factors such as experience, knowledge, and skills, and if the location of the job changes.
• Flexible position description allowing management the opportunity to assign or reassign duties and responsibilities as needed.